Multi-Scale Computation


Computational mechanics seeks to develop new, computer-aided methods for predicting physical phenomenon important to engineering. We leverage the resources of the parallel computing cluster maintained by Advanced Research Computing at U-M to perform large scale computations.

We use multi-scale computational methods to research questions ranging from the molecular basis of soot formation in combustion to the manner in which molecular-level defects affect macroscopic mechanical properties. These methods focus on predicting the mechanical, electrical, and optical behavior of materials and structures from smaller scale models in an accurate and reliable way. This can also involve quantum-mechanical calculations or complex substructure models.


  • Simulation of turbulence
  • Structural health monitoring and biodynamics
  • Biomechanics and electroacoustics
  • Phononic material design and computational mechanics
  • Combustion and reacting flows
  • Computational fluid dynamics
  • Optimization and homogenization methods
  • DNA mechanics and dynamics
  • Computational physics
  • Computational materials physics

Recent News

Luetkemeyer's research uses state-of-the-art, full-field experimental and computational inverse techniques to build mathematical models of the mechanical behavior of the anterior cruciate ligament (ACL).

A recent research by U-M ME Ph.D. student Zhiton Bai and Assistant Professor Yue Fan, entitled "Abnormal Strain Rate Sensitivity Driven by a Unit Dislocation-Obstacle Interaction in bcc Fe," was published in the March 2018 Physical Review Letters.

For Mauro Rodriguez, a first generation high school student, college seemed like an impossible dream. Now a doctoral candidate in Mechanical Engineering, Mauro is driven by his roots to give back as much as he can

This award recognizes a young professional (within 10 years of Ph.D.) who has made significant contributions in education and has demonstrated an excellence in research in the field of experimental mechanics.

PhD student Jihun Kim wrote computer code that caught the eye of popular open software toolbox for medical image processing, Elastix. The code will prevent the unrealistic deformation in rigid bodies in deformable registration of medical diagnostic images

CAREER awards recognize junior faculty who exemplify the role of teacher-scholars through outstanding research and education